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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does a confusion matrix represent?
💡 Hint: Think about its components.
Question 2
Easy
What is a true positive?
💡 Hint: Consider the definition of predictions.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is a confusion matrix used for?
💡 Hint: Think about how we assess model accuracy.
Question 2
True positives indicate which of the following?
💡 Hint: Reflect on the definitions of positive predictions.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Consider a confusion matrix where the false positive count is significantly high. What could be the potential impact of such an outcome on a real-world scenario?
💡 Hint: Think about potential consequences in fields like healthcare.
Question 2
You have created a confusion matrix and noticed a high false negative rate. Suggest two strategies to reduce the false negatives in your model.
💡 Hint: Consider how data features affect model training.
Challenge and get performance evaluation